Estimation Results of Aspatial Models. A Supplementary Note to "A Spatial Multivariate Count Model for Firm Location Decisions"

Similar documents
Economic Geography of the Long Island Region

North Dakota Lignite Energy Industry's Contribution to the State Economy for 2002 and Projected for 2003

BENBROOK ECONOMIC DEVELOPMENT CORPORATION COME GROW WITH US.

FOR SALE +/- 419 ACRES ¼ Mile South of Alliance Airport

GROWING APART: THE CHANGING FIRM-SIZE WAGE PREMIUM AND ITS INEQUALITY CONSEQUENCES ONLINE APPENDIX

Comparing Transit Accessibility Measures: A Case Study of Access to Healthcare Facilities

A User s Guide to the Federal Statistical Research Data Centers

North Dakota Lignite Energy Industry s Contribution to the State Economy

Public Transit Accessibility vs. Employment: A Comparative Assessment of Counties/Cities in Northern Virginia

E-Community Check Request Checklist

Get Over, and Beyond, the Half-Mile Circle (for Some Transit Options)

LOCATIONAL PREFERENCES OF FDI FIRMS IN TURKEY

Extensions and Re-Estimations for: Do Some Enterprise Zones Create Jobs? *

Faculty Demographics - Fall 2017 (Full-time, Professor to Instructor Rank, Inst'l and research)

ILM Business Park Airport Blvd., Suite 12 Wilmington, NC

APPENDIX V VALLEYWIDE REPORT

New Partners for Smart Growth: Building Safe, Healthy, and Livable Communities Mayor Jay Williams, Youngstown OH

Making space for a more foundational construction sector in Brussels

May 02, Page 1 of 6 LEASE SPACE BY LOCATION, SYSTEM PART, ORGANIZATION AND BUILDING BLDG PERCENT C - Fall. Unclass Total E&G Non E&G E&G

A New Generalized Gumbel Copula for Multivariate Distributions

Urban Geography Unit Test (Version B)

A MODEL OF RIDESOURCING DEMAND GENERATION AND DISTRIBUTION

Trip Generation Model Development for Albany

FROM INDUSTRY DEPENDENT URBAN AGGLOMERATION TO CONTEMPORARY METROPOLITAN AREA TOWARDS THE RENEWED LISBON STRATEGY

INTELLIGENT CITIES AND A NEW ECONOMIC STORY CASES FOR HOUSING DUNCAN MACLENNAN UNIVERSITIES OF GLASGOW AND ST ANDREWS

NCTCOG Regional GIS Meeting 6-Years and Going Strong. May 15, 2018 hosted by: Tarrant County

SECTION DESCRIPTION PAGE I. BUDGET INTRODUCTION... 1 II. FISCAL YEAR 2017 BUDGET ANALYSIS... 2 III. PROPOSED OPERATING BUDGET... 3

2012 State of the Region Address. Michael C. Carroll, Ph.D. Center for Regional Development Bowling Green State University

Determinants and success factors of interregional mobility processes

R E SEARCH HIGHLIGHTS

2014 UTP Public Meeting July 18, 2013

Economic Impacts of the World Golf Village Development for Northeast Florida and St. Johns County

Degrees Awarded by College Offering Major Trends 2012/2013 through 2016/2017

Johns Hopkins University Fall APPLIED ECONOMICS Regional Economics

Planning for Economic and Job Growth

HORIZON 2030: Land Use & Transportation November 2005

Industries & Sprawl. Measuring the Effect of Labor Demand Structure on Urban Form Using Landscape Metrics

HAZUS-MH: Earthquake Event Report

See Publication NYS-50-T.1 for the updated information.

Decline and redevelopment of industrial sites. Targeting the most needy places?

BRITISH VIRGIN ISLANDS SECTORAL GROSS DOMESTIC PRODUCT MARKET PRICES (current prices) (US$M)

The Economic and Social Health of the Cairngorms National Park 2010 Summary

Saskatoon Region Economic Diversity Report

DEVELOPMENT OF OPPORTUNITY-BASED ACCESSIBILITY INDICATORS

Supporting Jobs & Competitiveness in Punjab: A Strategic Spatial Approach

Ireland 2040 Our Plan. National Planning Framework

Opportunities and challenges of HCMC in the process of development

The Competitive Advantage of Regions

AGEC 603. Stylized Cited Assumptions. Urban Density. Urban Density and Structures. q = a constant density the same throughout

A tale of two cities. John Daley, CEO, Grattan Institute Work and life in cities: City strategy in Australia Melbourne Economic Forum 27 October 2016

$1.0600/$100 (proposed rate for maintenance and operations) School Debt Service Tax Approved by Local Voters

Identifying Megaregions in the US: Implications for Infrastructure Investment

Appendixx C Travel Demand Model Development and Forecasting Lubbock Outer Route Study June 2014

Economic and Resident Baseline

A New Approach to Estimating Population Growth Along a Major Arterial Highway.

Spatial profile of three South African cities

Field Course Descriptions

Do TODs Make a Difference?

Do TODs Make a Difference?

Regional Snapshot Series: Transportation and Transit. Commuting and Places of Work in the Fraser Valley Regional District

Average 175, , , , , , ,046 YTD Total 1,098,649 1,509,593 1,868,795 1,418, ,169 1,977,225 2,065,321

Average 175, , , , , , ,940 YTD Total 944,460 1,284,944 1,635,177 1,183, ,954 1,744,134 1,565,640

Impact of Capital Gains and Urban Pressure on Farmland Values: A Spatial Correlation Analysis

Background the Ch. 12

Chapter 12. Key Issue Three: Why do business services locate in large settlements?

Economics th April 2011

Do TODs Make a Difference? MAX Yellow Line Portland, Oregon

The challenge of globalization for Finland and its regions: The new economic geography perspective

FY SUMMARY BUDGET

of the street when facing south and all even numbers south of Railroad Avenue shall be on the righthand side of the street when facing south.

Unit 7. Cities and Urban Land Use

Size matters: issues and challenges of local development with a special focus on small and medium sized towns in Czechia

2012 AND ESTIMATE FOR Q1, 2013 GROSS DOMESTIC PRODUCT FOR NIGERIA

RESOLUTION NOW, THEREFORE, BE IT RESOLVED BY THE BOARD OF SUPERVISORS OF THE CORKSCREW FARMS COMMUNITY DEVELOPMENT DISTRICT:

(a) Write down the Hamilton-Jacobi-Bellman (HJB) Equation in the dynamic programming

Do TODs Make a Difference? NS Streetcar Line Portland, Oregon

Keynote Address. Felecia Etheridge Chief Customer Engagement Officer CPS Energy

BROOKINGS May

SECTION DESCRIPTION PAGE I. BUDGET INTRODUCTION... 1 II. FISCAL YEAR 2017 BUDGET ANALYSIS... 2 III. FINAL OPERATING BUDGET... 3

11/11/2016. Energy Impacts Research Coordination Network >>>

Port Cities Conference: How Regional Planning can Help Support a Competitive Port. Christina DeMarco Metro Vancouver

SOCIO-DEMOGRAPHIC INDICATORS FOR REGIONAL POPULATION POLICIES

The TransPacific agreement A good thing for VietNam?

a) Imbedding flexibility b) Different incentives for different locations? 1. What are we trying to achieve?

Understanding China Census Data with GIS By Shuming Bao and Susan Haynie China Data Center, University of Michigan

Sustainable Suburbs: Restructuring Suburban Development

Lee County, Alabama 2015 Forecast Report Population, Housing and Commercial Demand

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Econometrics (60 points) as the multivariate regression of Y on X 1 and X 2? [6 points]

REPORT: GREAT FALLS REGION TRADE AREA ANALYSIS. July

Finance Department. Denton City Council Department Presentation

APPLICATION TO AMEND THE FUTURE LAND USE MAP (FLUM) SMALL SCALE

SECTION DESCRIPTION PAGE I. BUDGET INTRODUCTION... 1 II. FISCAL YEAR 2017 BUDGET ANALYSIS... 2 III. PROPOSED OPERATING BUDGET... 4

1 of 6. Curriculum Vitae

The Texas Association of Public Employee Retirement Systems

STRATEGY FOR SPATIAL PLANNING AND RENEWAL OF URBAN POLICY: THE SOFA OF CENTRAL METROPOLITAN AREA

A New Approach to Estimating the Production Function for Housing: Appendices

Problems In Large Cities

GIS FOR MAZOWSZE REGION - GENERAL OUTLINE

Does agglomeration matter everywhere?: new firm location decisions in rural and urban markets

Transcription:

Estimation Results of Aspatial Models A Supplementary Note to "A Spatial Multivariate Count Model for Firm Location Decisions" by Chandra R. Bhat* The University of Texas at Austin Dept of Civil, Architectural and Environmental Engineering 301 E. Dean Keeton St. Stop C1761, Austin TX 78712-1172 Phone: 512-471-4535, Fax: 512-475-8744 Email: bhat@mail.utexas.edu Rajesh Paleti Parsons Brinckerhoff One Penn Plaza, Suite 200 New York, NY 10119 Phone: 512-751-5341; Fax: 212-465-5096 Email: paletir@pbworld.com Palvinder Singh Parsons Brinckerhoff 400 SW Sixth Avenue, Suite 802 Portland, OR 97204 Phone: 503-478-2873, Fax: 503-274-1412 Email: singhp@pbworld.com *corresponding author

Table 1: Estimation Results of the IFC Model Demand Intensity Agglomeration Economies/Diseconomies Total number of existing businesses per sq. mile Square of the number of existing businesses per square mile Number of existing trade businesses per sq. mile Number of existing trade employees per sq. mile/10-0.003 (-0.835) -0.023 (-4.419) 1.534 (5.297) 0.980 (6.126) -0.061 (-5.500) Sector-specific number of existing businesses per sq. mile Specialization Indices and Firm Size -0.022 (-5.001) 0.676 (7.589) -0.034 (-5.610) -0.031 (-9.426) 2.131 (11.850) 2.266 (20.331) -0.274 (-20.639) 2.118 (23.630) -0.248 (-24.020) 1.498 (26.167) -0.192 (-29.402) 0.007 (8.635) -0.179 (-9.015) 0.099 (5.374) 1.189 (4.315) 6.194 (8.343) Location Quotient of businesses / 10 0.172 (1.631) 11.016 (7.505) 10.076 (6.269) 13.044 (4.656) 2.855 (4.201) 16.402 (6.990) 7.521 (4.997) 13.081 (13.681) 1.430 (4.836) Herfindahl-Hirschman Index of businesses -4.971 (-1.827) -8.793 (-3.536) -15.073 (-7.792) -7.821 (-4.408) -11.964 (-8.676) -8.024 (-6.812) -15.298 (-10.554) -8.023 (-8.566) -10.178 (-9.680) Average size of businesses / 10 0.947 (5.365)

Human Capital Table 1 (Contd.): Estimation Results of the IFC Model Education (Base Case: % of persons 25 years or above with educational attainment less than high school) % of persons 25 years or above with high school degree /100-1.421 (-2.049) -2.092 (-3.294) -2.411 (-6.253) -3.134 (-11.545) % of persons 25 years or above with bachelor s degree or higher /100-3.383 (-2.559) -3.652 (-4.359) 2.432 (6.349) 6.224 (14.919) 2.503 (1.964) Rate of unemployment /100-30.207 (-2.979) -15.946 (-3.148) -9.559 (-1.740) -19.481 (-4.733) Average wage per job (in 10,000s of dollars) 0.297 (2.574) 0.312 (4.857) Fiscal Conditions Property tax rates -1.237 (-2.447) -1.393 (-3.693) -1.921 (-4.391) -1.418 (-4.686) -1.952 (-7.192) -1.459 (-5.869) -1.989 (-11.688) -0.622 (-3.663) -1.365 (-10.163) -2.122 (-5.463) County-Specific Factors Harris county, 0 otherwise -3.011 (-5.250) 4.721 (7.229) Dallas county, 0 otherwise 5.781 (7.379) 7.331 (10.978) Tarrant county, 0 otherwise 4.642 (9.386) 3.500 (6.890) 2.698 (4.817) 7.406 (12.303) 3.701 (16.041) 2.549 (5.654) 3.393 (9.330) Bexar county, 0 otherwise -1.341 (-6.946) Travis county, 0 otherwise -1.784 (-4.144)

Table 1 (Contd.): Estimation Results of the IFC Model Supply Tipping Point (Threshold) Effects Vector Elements 1 2-0.172 (-1.963) -0.343 (-3.250) 3 4-0.409 (-3.145) 5 6 7 8 9-0.666 (-4.484) -0.802 (-4.100) -1.154 (-5.551) 10 0.363 (8.729) -0.132 (-1.790) -0.246 (-2.273) -0.447 (-3.421) -0.721 (-5.224) -0.854 (-5.265) -0.289 (-6.412) -0.534 (-3.642) -0.494 (-7.648) -0.296 (-2.696) 0.124 (3.174) -0.136 (-4.081) -0.095 (-3.804) -0.707 (-3.800) -0.902 (-4.195) -0.767 (-9.527) -1.010 (-10.937) 11 12 13 14-3.821 (-10.977) -0.964 (-5.231) -1.157 (-5.863) -0.221 (-6.361) -0.234 (-13.030) -0.448 (-11.537) -0.549 (-10.760) -0.443 (-8.633) -1.244 (-11.378) -0.539 (-3.891) -0.830 (-5.327) -0.163 (-3.175) -0.408 (-6.771) -1.112 (-6.628) -1.334 (-7.240) -1.529 (-7.487) -0.555 (-7.548)

Table 1 (Contd.): Estimation Results of the IFC Model Vector Elements Constant Agglomeration Economies/Diseconomies -3.802 (-3.601) -4.071 (-6.120) -9.325 (-5.137) -4.641 (-8.323) -2.763 (-5.120) -3.815 (-9.489) -6.652 (-12.825) -3.755 (-7.781) -5.280 (-15.295) -7.746 (-19.647) -7.241 (-8.588) Residential population per sq. mile / 100-0.030 (-2.189) -0.060 (-3.079) -0.074 (-5.750) -0.046 (-2.364) Residential population change between 2000 and 2007 (in 10,000s) -0.021 (-4.011) -0.013 (-5.027) -0.032 (-8.642) -0.023 (-3.855) -0.038 (-8.012) Fiscal Conditions Natural logarithmic of government expenditure (in dollars) 0.307 (6.513) 0.289 (9.856) 0.247 (7.297) 0.326 (14.341) 0.208 (8.382) 0.306 (15.114) 0.278 (13.262) 0.145 (7.827) 0.328 (20.013) 0.453 (27.746) 0.400 (11.869) Transportation Infrastructure and Land Development Characteristics Natural logarithmic of length (in miles) of roadway network Dummy Variable; 1 if Interstate roadway passes through the county, 0 otherwise Number of airports in each county /10 Metropolitan status (Base Case: County is a non-metropolitan area and also non-adjacent to metropolitan county Dummy Variable; 1 if county is metropolitan, 0 otherwise Dummy Variable; 1 if county is a non-metropolitan but adjacent to a metropolitan county, 0 otherwise Natural logarithmic of land area (in sq. miles) 0.1233 (2.5751) 0.067 (2.542) 0.217 (4.248) 0.275 (2.665) 0.064 (1.657) 0.146 (4.112) 0.073 (2.942) 0.095 (2.995) 0.211 (7.674) 0.116 (6.925) 0.053 (2.722) 0.081 (5.331) 0.117 (8.657) 0.221 (5.799) 0.052 (0.644) 0.465 (3.500) 0.233 (1.909) 0.504 (2.864) 0.112 (2.767) 0.217 (6.767) 0.323 (5.228) 0.223 (5.185) 0.159 (3.924)

Table 2a: Estimation Results of the JFC Model Demand Intensity Agglomeration Economies/Diseconomies Total number of existing businesses per sq. mile 1.002 (6.285) 0.671 (7.536) 2.283 (20.604) 2.096 (24.118) 1.500 (25.880) Square of the number of existing businesses per square mile -0.002 (-0.699) -0.023 (-4.381) -0.062 (-5.624) -0.024 (-5.720) -0.034 (-5.479) -0.029 (-9.248) -0.275 (-20.904) -0.246 (-24.474) -0.193 (-29.548) 0.006 (7.978) -0.192 (-9.064) Number of existing trade businesses per sq. mile 1.543 (5.361) 2.025 (11.592) Number of existing trade employees per sq. mile/10 0.097 (5.236) Sector-specific number of existing businesses per sq. mile 1.320 (4.920) 6.774 (8.698) Specialization Indices and Firm Size Location Quotient of businesses / 10 0.187 (1.897) 12.265 (8.141) 10.906 (6.654) 12.743 (4.578) 2.993 (4.226) 16.887 (7.291) 7.125 (4.779) 12.897 (13.636) 1.433 (4.679) Herfindahl-Hirschman Index of businesses -3.095 (-1.580) -8.419 (-3.657) -14.814 (-7.672) -7.099 (-4.059) -12.497 (-8.925) -7.700 (-6.604) -15.361 (-10.555) -8.465 (-8.221) -10.347 (-9.416) Average size of businesses / 10 0.917 (5.257)

Human Capital Table 2a (Contd.): Estimation Results of the JFC Model Education (Base Case: % of persons 25 years or above with educational attainment less than high school) % of persons 25 years or above with high school degree /100-1.558 (-2.254) -2.072 (-3.299) -2.776 (-7.280) -2.978 (-11.243) % of persons 25 years or above with bachelor s degree or higher /100-3.610 (-2.757) -3.526 (-4.251) 2.599 (6.687) 7.873 (19.122) 2.315 (1.804) Rate of unemployment /100-30.779 (-3.082) -16.344 (-3.277) -9.671 (-1.772) -19.470 (-4.768) Average wage per job (in 10,000s of dollars) 0.247 (2.169) 0.289 (4.503) Fiscal Conditions Property tax rates -1.345 (-2.756) -1.178 (-3.139) -1.956 (-4.418) -1.376 (-4.558) -2.026 (-7.449) -1.474 (-5.911) -1.960 (-11.524) -0.620 (-3.673) -1.257 (-9.152) -2.096 (-5.289) County-Specific Factors Harris county, 0 otherwise -2.789 (-5.201) 4.901 (7.837) Dallas county, 0 otherwise 5.898 (7.988) 7.161 (10.572) Tarrant county, 0 otherwise 4.694 (9.380) 3.376 (6.643) 2.675 (4.887) 7.477 (12.486) 3.840 (16.407) 2.868 (5.353) 3.343 (8.837) Bexar county, 0 otherwise Travis county, 0 otherwise -1.379 (-7.171) -1.496 (-3.492)

Table 2a (Contd.): Estimation Results of the JFC Model Supply Tipping Point (Threshold) Effects Vector Elements 1 2-0.164 (-1.856) -0.326 (-3.062) 3 4-0.403 (-3.078) 5 6 7 8 9-0.663 (-4.483) -0.796 (-4.040) -1.152 (-5.535) 10 0.355 (8.519) -0.146 (-2.019) -0.269 (-2.532) -0.480 (-3.766) -0.756 (-5.614) -0.899 (-5.709) -0.285 (-6.294) -0.507 (-3.427) -0.488 (-7.519) -0.269 (-2.333) 0.119 (3.053) -0.136 (-4.081) -0.071 (-2.708) -0.678 (-3.619) -0.873 (-4.037) -0.760 (-9.465) -0.999 (-10.811) 11 12 13 14-3.877 (-11.380) -1.019 (-5.702) -1.209 (-6.229) -0.225 (-6.625) -0.234 (-13.284) -0.447(- 11.517) -0.545(- 10.618) -0.446 (-8.690) -1.232 (-11.291) -0.516 (-3.587) -0.799 (-4.912) -0.144 (-2.867) -0.400 (-6.368) -1.085 (-6.222) -1.305 (-6.822) -1.498 (-7.080) -0.542 (-7.151)

Table 2a (Contd.): Estimation Results of the JFC Model Vector Elements Constant Agglomeration Economies/Diseconomies -3.902 (-3.911) -4.388 (-7.119) -9.243 (-5.194) -4.595 (-8.456) -2.790 (-5.176) -3.782 (-9.495) -6.790 (-12.914) -3.284 (-7.323) -5.074 (-14.645) -8.472 (-21.326) -7.176 (-8.166) Residential population per sq. mile / 100-0.036 (-3.053) -0.064 (-3.441) -0.073 (-5.854) -0.050 (-2.068) Residential population change between 2000 and 2007 (in 10,000s) -0.019 (-3.845) -0.014 (-5.528) -0.031 (-8.839) -0.021 (-2.988) -0.037 (-7.581) Fiscal Conditions Natural logarithmic of government expenditure (in dollars) 0.312 (7.006) 0.303 (10.438) 0.243 (7.282) 0.324 (14.456) 0.206 (8.507) 0.309 (15.413) 0.280 (13.16) 0.137 (7.812) 0.330 (18.052) 0.481 (27.888) 0.399 (11.435) Transportation Infrastructure and Land Development Characteristics Natural logarithmic of length (in miles) of roadway network Dummy Variable; 1 if Interstate roadway passes through the county, 0 otherwise Number of airports in each county /10 Metropolitan status (Base Case: County is a non metropolitan area and also non-adjacent to metropolitan county Dummy Variable; 1 if county is metropolitan, 0 otherwise Dummy Variable; 1 if county is a non-metropolitan but adjacent to a metropolitan county, 0 otherwise Natural logarithmic of land area (in sq. miles) 0.115 (2.383) 0.071 (2.731) 0.204 (4.027) 0.283 (2.696) 0.063 (1.620) 0.152 (4.273) 0.063 (2.595) 0.099 (3.069) 0.197 (7.865) 0.117 (6.663) 0.213 (5.669) 0.049 (2.559) 0.079 (5.569) 0.118 (8.465) 0.053 (0.648) 0.452 (3.439) 0.235 (1.936) 0.518 (2.966) 0.115 (2.849) 0.220 (6.849) 0.332 (5.344) 0.207 (5.102) 0.124 (2.762)

Table 2b: Estimation Results of the JFC Model: Cross-Sector Correlation Matrix Agriculture Construction 0.145 (1.978) Manufacturing 0.000 Trade 0.000 Transportation 0.000 Services 0.155 (1.838) Finance 0.000 Health 0.000 Hospitality 0.000 0.208 (2.592) 0.479 (6.992) 0.162 (2.356) 0.437 (6.181) 0.334 (4.384) 0.299 (3.317) 0.191 (2.296) 0.299 (4.056) 0.000 0.229 (2.967) 0.214 (2.720) 0.175 (2.171) 0.290 (3.977) 0.176 (2.321) 0.453 (7.155) 0.333 (4.867) 0.283 (3.508) 0.285 (3.676) Arts 0.000 0.000 0.000 0.000 Administration 0.000 0.324 (4.557) 0.222 (2.587) 0.368 (5.438) 0.226 (2.961) 0.146 (1.675) 0.000 0.000 0.177 (2.006) 0.000 0.281 (3.417) 0.335 (4.816) 0.173 (2.124) 0.376 (5.160) 0.137 (1.527) 0.127 (1.513) 0.000 0.000 0.000 0.000 0.343 (4.974) 0.230 (2.503) 0.283 (3.715) 0.365 (5.473) 0.000